The framework incorporates support for Self-Distilled Policy Gradient (SDPG) to expand the available methodologies for model fine-tuning. This integration allows users to apply SDPG policy gradient optimization directly within the post-training workflow.
Wednesday, October 21, 2026
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Whitecircle Launches Halo Framework With 2.8x Open Model Throughput
AI29 days ago
The new Halo post-training tool reduces peak memory usage for developers while maintaining native HuggingFace formats. Whitecircle's software delivers a throughput increase of 2.8x over stock TRL and is available for open source models via GitHub.
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